Dmytro Trybushnyi
Team Leader at Karlsruhe Institute of Technology (KIT) / University of Karlsruhe (TH)
Mannheim, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolDmytro Trybushnyi is a technical team leader and applied researcher with over 15 years of experience delivering high-performance, cross-platform scientific and GIS software, currently leading the Atmospheric Dispersion Modeling group at KIT and steering the JRodos decision support system used in 40+ countries. He combines deep numerical and mathematical expertise (data assimilation, Kalman filters, numerical PDEs) with hands-on optimization skills—speeding compute-heavy codes via OpenMP/MPI and GPGPU (CUDA/OpenCL) and profiling with Valgrind/YourKit. Equally fluent in Java, C/C++, Fortran and Python, he architects distributed systems, integrates legacy models, and automates GIS workflows using QGIS/ArcGIS and GeoTools. His R&D work spans machine learning and deep learning implementations (TensorFlow/Keras/PyTorch) for scientific problems and bioinformatics, including notable open-source contributions to computational projects. Colleagues rely on him for pragmatic algorithmic improvements that both sharpen numerical accuracy and cut runtime by orders of magnitude. Based in Mannheim, he blends academic rigor from a mathematics background with proven operational leadership in emergency preparedness software.
10 years of coding experience
24 years of employment as a software developer
Ukrainian physical-mathematical lyceum of T.Shevchenko UniversityMaster of Science Mathematics Calculus, Master of Science Mathematics Calculus at Taras Shevchenko National University of Kyiv
English, German, Ukrainian, Russian
Github Skills (34)
spatial8
tms7
wps7
qgis7
openstreetmap7
alpine-linux7
geotools7
data-management7
wcs7
gdal7
wms7
gis7
caddyserver7
system-information7
shapefile7
Programming languages (4)
Github contributions (5)
dimatr/component_segmentation
Apr 2020 - Apr 2020
Read in ODGI Bin output and identify co-linear components
Contributions:6 PRs, 27 pushes, 3 branches in 16 days
pythonbinlinearidentifysegmentation
graph-genome/component_segmentation
Apr 2020 - Feb 2021
Read in ODGI Bin output and identify co-linear components
Contributions:52 commits, 11 PRs, 18 pushes in 10 months
pythonidentifybinlinear
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